To understand the main determinants behind worldwide antibiotic resistance dynamics, scientists from the Institut Pasteur, Inserm, Université de Versailles Saint-Quentin-en-Yvelines and Université Paris-Saclay developed a statistical model based on a large-scale spatial-temporal analysis. Using the ATLAS antimicrobial resistance surveillance database, the model revealed significant differences in trends and associated factors depending on bacterial species and resistance to certain antibiotics.
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